Body Mass-to-waist Ratio Strongly Correlates with Skeletal Muscle Volume in Children

Overview

Journal PLoS One

Specialties General Medicine
Science

Date 2017 May 6

PMID 28475638

Citations 5

Authors

Megumi Ohta

Taishi Midorikawa

Yuki Hikihara

Shizuo Sakamoto

Yasuo Kawakami

Tetsuo Fukunaga

Hiroaki Kanehisa

Affiliations

Soon will be listed here.

Abstract

Purpose: We hypothesized that body mass-to-waist ratio is strongly associated with the total-body skeletal muscle volume (SMV) in children. The purpose of the present study was to examine this hypothesis.

Methods: By using magnetic resonance imaging, total-body SMV (SMVMRI) was determined in 70 boys and 53 girls aged 6 to 12 years. Waist was measured at each of the level of umbilicus (Wumb) and the minimum circumference (Wmin), and the ratio of body mass to each of the two measured values was calculated (BM/Wumb and BM/Wmin, respectively). A single regression analysis was used to examine the relationships between SMVMRI and either BM/Wumb or BM/Wmin. On the basis of the obtained regression equations, SMVMRI was estimated and referred to as SMVBM/Wumb or SMVBM/Wmin.

Results: In both boys and girls, SMVMRI was highly correlated to BM/Wumb (r = 0.937 for boys and r = 0.939 for girls, P < 0.0001) and BM/Wmin (r = 0.915 and 0.942, P < 0.0001). R2 and the standard error of estimate for SMVBM/Wumb were 0.878 and 706.2 cm3, respectively, in boys and 0.882 and 825.3 cm3, respectively, in girls, and those for SMVBM/Wmin were 0.837 and 814.0 cm3, respectively, in boys and 0.888 and 804.1 cm3, respectively, in girls. In both boys and girls, there were no significant differences between SMVMRI and either SMVBM/Wumb or SMVBM/Wmin, without systematic errors in Band-Altman plots. There was no significant effect of model on the absolute values of the residuals in both boys and girls.

Conclusion: The current results indicate that body mass-to-waist ratio can be a convenient outcome measure for assessing the total-body skeletal muscle volume in children.

Citing Articles

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Bonilla D, Duque-Zuluaga L, Munoz-Urrego L, Franco-Hoyos K, Agudelo-Martinez A, Kammerer-Lopez M Nutrients. 2022; 14(19).

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Development and Validation of Waist Girth-Based Equations to Evaluate Body Composition in Colombian Adults: Rationale and STROBE-Nut-Based Protocol of the F20 Project.

Bonilla D, Duque-Zuluaga L, Munoz-Urrego L, Moreno Y, Velez-Gutierrez J, Franco-Hoyos K Int J Environ Res Public Health. 2022; 19(17).

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Takai Y, Nakatani M, Aoki T, Komori D, Oyamada K, Murata K PLoS One. 2018; 13(1):e0189836.

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References

Poortmans J, Boisseau N, Moraine J, Moreno-Reyes R, Goldman S . Estimation of total-body skeletal muscle mass in children and adolescents. Med Sci Sports Exerc. 2005; 37(2):316-22. DOI: 10.1249/01.mss.0000152804.93039.ce. View

Yang C, Wang L . Comparisons of Waist Circumference Measurements at Five Different Anatomical Sites in Chinese Children. Biomed Res Int. 2017; 2017:7678613. PMC: 5312053. DOI: 10.1155/2017/7678613. View

Kanehisa H, Ikegawa S, Tsunoda N, Fukunaga T . Cross-sectional areas of fat and muscle in limbs during growth and middle age. Int J Sports Med. 1994; 15(7):420-5. DOI: 10.1055/s-2007-1021081. View

Hubert H, Guinhouya C, Allard L, Durocher A . Comparison of the diagnostic quality of body mass index, waist circumference and waist-to-height ratio in screening skinfold-determined obesity among children. J Sci Med Sport. 2008; 12(4):449-51. DOI: 10.1016/j.jsams.2008.05.002. View

Midorikawa T, Sanada K, Yoshitomi A, Abe T . Is the use of ultrasound-derived prediction equations for adults useful for estimating total and regional skeletal muscle mass in Japanese children?. Br J Nutr. 2008; 101(1):72-8. DOI: 10.1017/S000711450899440X. View

Bland J, Altman D . Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986; 1(8476):307-10. View

Lee R, Wang Z, Heo M, Ross R, Janssen I, Heymsfield S . Total-body skeletal muscle mass: development and cross-validation of anthropometric prediction models. Am J Clin Nutr. 2000; 72(3):796-803. DOI: 10.1093/ajcn/72.3.796. View

Wang J, Thornton J, Bari S, Williamson B, Gallagher D, Heymsfield S . Comparisons of waist circumferences measured at 4 sites. Am J Clin Nutr. 2003; 77(2):379-84. DOI: 10.1093/ajcn/77.2.379. View

Quiterio A, Carnero E, Silva A, Bright B, Sardinha L . Anthropometric models to predict appendicular lean soft tissue in adolescent athletes. Med Sci Sports Exerc. 2009; 41(4):828-36. DOI: 10.1249/MSS.0b013e31818ffe4b. View

10.

Goran M, Gower B, Treuth M, Nagy T . Prediction of intra-abdominal and subcutaneous abdominal adipose tissue in healthy pre-pubertal children. Int J Obes Relat Metab Disord. 1998; 22(6):549-58. DOI: 10.1038/sj.ijo.0800624. View

11.

Sijtsma A, Bocca G, LAbee C, Liem E, Sauer P, Corpeleijn E . Waist-to-height ratio, waist circumference and BMI as indicators of percentage fat mass and cardiometabolic risk factors in children aged 3-7 years. Clin Nutr. 2013; 33(2):311-5. DOI: 10.1016/j.clnu.2013.05.010. View

12.

Rankinen T, Kim S, Perusse L, Despres J, Bouchard C . The prediction of abdominal visceral fat level from body composition and anthropometry: ROC analysis. Int J Obes Relat Metab Disord. 1999; 23(8):801-9. DOI: 10.1038/sj.ijo.0800929. View

13.

Taylor R, Keil D, Gold E, Williams S, Goulding A . Body mass index, waist girth, and waist-to-hip ratio as indexes of total and regional adiposity in women: evaluation using receiver operating characteristic curves. Am J Clin Nutr. 1998; 67(1):44-9. DOI: 10.1093/ajcn/67.1.44. View

14.

Midorikawa T, Ohta M, Hikihara Y, Torii S, Sakamoto S . Prediction and validation of total and regional skeletal muscle volume using B-mode ultrasonography in Japanese prepubertal children. Br J Nutr. 2015; 114(8):1209-17. DOI: 10.1017/S0007114515002585. View

15.

Abe T, Kearns C, Fukunaga T . Sex differences in whole body skeletal muscle mass measured by magnetic resonance imaging and its distribution in young Japanese adults. Br J Sports Med. 2003; 37(5):436-40. PMC: 1751351. DOI: 10.1136/bjsm.37.5.436. View

16.

Nakatani M, Takai Y, Akagi R, Wakahara T, Sugisaki N, Ohta M . Validity of muscle thickness-based prediction equation for quadriceps femoris volume in middle-aged and older men and women. Eur J Appl Physiol. 2016; 116(11-12):2125-2133. DOI: 10.1007/s00421-016-3464-1. View

17.

Corvalan C, Uauy R, Kain J, Martorell R . Obesity indicators and cardiometabolic status in 4-y-old children. Am J Clin Nutr. 2009; 91(1):166-74. DOI: 10.3945/ajcn.2009.27547. View

18.

Sisson S, Katzmarzyk P, Srinivasan S, Chen W, Freedman D, Bouchard C . Ethnic differences in subcutaneous adiposity and waist girth in children and adolescents. Obesity (Silver Spring). 2009; 17(11):2075-81. PMC: 2783504. DOI: 10.1038/oby.2009.132. View

19.

Taylor R, Jones I, Williams S, Goulding A . Evaluation of waist circumference, waist-to-hip ratio, and the conicity index as screening tools for high trunk fat mass, as measured by dual-energy X-ray absorptiometry, in children aged 3-19 y. Am J Clin Nutr. 2000; 72(2):490-5. DOI: 10.1093/ajcn/72.2.490. View

20.

Kim J, Shen W, Gallagher D, Jones Jr A, Wang Z, Wang J . Total-body skeletal muscle mass: estimation by dual-energy X-ray absorptiometry in children and adolescents. Am J Clin Nutr. 2006; 84(5):1014-20. PMC: 2747777. DOI: 10.1093/ajcn/84.5.1014. View